Large-scale MIMO multicast power distribution method based on energy efficiency and spectral efficiency joint optimization

Abstract

The invention discloses a large-scale MIMO multicast power distribution method based on energy efficiency and spectral efficiency joint optimization, which comprises the following steps: a base station configures a large-scale antenna array, and generates a large-scale beam set covering the whole cell through beam forming so as to perform multicast communication with a user, i.e., multicast signals are simultaneously sent to the user on the same time-frequency resource. Through a channel detection process of an uplink, the base station acquires statistical channel state information of each user, and utilizes a weight factor to implement multicast transmission power distribution with optimal system resources (namely, the weighted sum of maximum energy efficiency and spectral efficiency). According to the method, the implementation complexity is low, and the energy efficiency and spectral efficiency of large-scale MIMO multicast transmission can be effectively balanced to obtain the maximum resource efficiency.

Description

technical field [0001] The invention belongs to the field of communication, and in particular relates to a large-scale MIMO broadcast transmission power allocation method utilizing a large-scale antenna array and statistical channel state information for joint optimization of energy efficiency and spectrum efficiency. Background technique [0002] In a massive MIMO system, a large-scale antenna array is arranged at the base station to serve multiple users simultaneously. The use of massive MIMO technology can effectively reduce the interference between users and greatly improve the energy efficiency and spectral efficiency of wireless communication systems. In the massive MIMO downlink transmission process, the base station converts the transmitted signal to the beam domain through unitary transformation, and performs signal transmission in the beam domain channel, making full use of the spatial angle resolution of the large-scale antenna array and the user channel in the be...

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Problems solved by technology

[0004] The traditional energy-efficiency-spectrum-efficiency joint optimization problem is often based on instantaneous channel state information, but in massive MIMO systems, it is difficult to obtain instantaneous channel state information, and when the number of antennas on the base station side is large, the process of solving the multicast rate of the system The complexity of the expected process is high

For the problem of maximizing the weighted sum of energy efficiency and spectral efficiency, it is usually difficult to solve because the objective function is a fraction and the numerator is a non-convex function

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